Chaoyong Ma

715 total citations · 1 hit paper
22 papers, 561 citations indexed

About

Chaoyong Ma is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Chaoyong Ma has authored 22 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 15 papers in Mechanical Engineering and 5 papers in Mechanics of Materials. Recurrent topics in Chaoyong Ma's work include Machine Fault Diagnosis Techniques (19 papers), Gear and Bearing Dynamics Analysis (15 papers) and Fault Detection and Control Systems (10 papers). Chaoyong Ma is often cited by papers focused on Machine Fault Diagnosis Techniques (19 papers), Gear and Bearing Dynamics Analysis (15 papers) and Fault Detection and Control Systems (10 papers). Chaoyong Ma collaborates with scholars based in China and Japan. Chaoyong Ma's co-authors include Yonggang Xu, Kun Zhang, Lingli Cui, Peng Chen, Jiyuan Zhao, Xiaoqing Li, Jianyu Zhang, Shuang Li, Liang Chen and Peng Chen and has published in prestigious journals such as Scientific Reports, IEEE Access and Mechanical Systems and Signal Processing.

In The Last Decade

Chaoyong Ma

18 papers receiving 519 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Frequency slice graph spectrum model and its application in bearing fault feature extraction

2025 20 citations Kun Zhang, Yanlei Liu et al. Mechanical Systems and Signal Processing profile →

Peers

Chaoyong Ma

CSE

ME

MM

CSE

AI

Zhanqun Shi China

Weigang Wen China

X.J. Li China

Guiji Tang China

Jin Ji Gao China

Junchao Guo China

Alessandro Paolo Daga Italy

Zhiqiang Liao China

Fengtao Wang China

Shuang-shan Mi China

Zhanqun Shi China

Chaoyong Ma

279 ×0.6

CSE

419 ×1.1

ME

152 ×0.9

MM

61 ×0.8

CSE

21 ×0.8

AI

Citations per year, relative to Chaoyong Ma Chaoyong Ma (= 1×) peers Zhanqun Shi

Countries citing papers authored by Chaoyong Ma

Since Specialization

Citations

This map shows the geographic impact of Chaoyong Ma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chaoyong Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaoyong Ma more than expected).

Fields of papers citing papers by Chaoyong Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chaoyong Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chaoyong Ma. The network helps show where Chaoyong Ma may publish in the future.

Co-authorship network of co-authors of Chaoyong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoyong Ma. A scholar is included among the top collaborators of Chaoyong Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chaoyong Ma. Chaoyong Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Zhang, Kun, et al.. (2025). Frequency slice graph spectrum model and its application in bearing fault feature extraction. Mechanical Systems and Signal Processing. 226. 112383–112383. 20 indexed citations breakdown →

2.

Zhang, Kun, et al.. (2025). LSESgram: A novel approach for optimal demodulation band selection in rolling bearing fault diagnosis. Eksploatacja i Niezawodnosc - Maintenance and Reliability.

3.

Zhang, Xiangfeng, et al.. (2025). The SAMgram: a novel local enhancement and targeted extraction strategy for weak bearing fault characteristics. Structural Health Monitoring. 25(2). 1389–1408. 3 indexed citations

4.

Yin, Baocai, et al.. (2025). Basketball team optimization algorithm (BTOA): a novel sport-inspired meta-heuristic optimizer for engineering applications. Scientific Reports. 15(1). 21629–21629. 1 indexed citations

5.

Ma, Chaoyong, et al.. (2024). The CTIgram: A Novel Optimal Demodulation Band Selection Method and Its Applications in Condition Monitoring of Rotating Machinery. IEEE Transactions on Instrumentation and Measurement. 73. 1–9. 2 indexed citations

6.

Ma, Chaoyong, et al.. (2024). A novel time-frequency slice extraction method for target recognition and local enhancement of non-stationary signal features. ISA Transactions. 146. 319–335. 21 indexed citations

7.

Ma, Chaoyong, et al.. (2024). A novel cross domain diagnosis method based on physical feature weighting and deep residual shrinkage network. Measurement Science and Technology. 36(1). 0161b6–0161b6.

8.

Ma, Chaoyong, et al.. (2023). Periodic Detection Mode Decomposition and Its Application in Bearing Fault Diagnosis. IEEE Sensors Journal. 23(11). 11806–11814. 3 indexed citations

9.

Ma, Chaoyong, et al.. (2022). Optimization of Ramanujan Subspace Periodic and Its Application in Identifying Industrial Bearing Fault Features. IEEE Transactions on Instrumentation and Measurement. 72. 1–7.

10.

Ma, Chaoyong, et al.. (2022). Enhanced seeded region growing algorithm and its application in signal decomposition. Measurement Science and Technology. 33(9). 95111–95111. 1 indexed citations

11.

Zhang, Kun, et al.. (2022). Quaternion empirical wavelet transform and its applications in rolling bearing fault diagnosis. Measurement. 195. 111179–111179. 20 indexed citations

12.

Zhang, Kun, et al.. (2021). Feature extraction method based on adaptive and concise empirical wavelet transform and its applications in bearing fault diagnosis. Measurement. 172. 108976–108976. 80 indexed citations

13.

Xu, Yonggang, et al.. (2021). The Enfigram: A robust method for extracting repetitive transients in rolling bearing fault diagnosis. Mechanical Systems and Signal Processing. 158. 107779–107779. 33 indexed citations

14.

Zhang, Kun, et al.. (2021). Sparsity-guided multi-scale empirical wavelet transform and its application in fault diagnosis of rolling bearings. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 43(8). 6 indexed citations

15.

Xu, Yonggang, et al.. (2019). Optimized LMD method and its applications in rolling bearing fault diagnosis. Measurement Science and Technology. 30(12). 125017–125017. 30 indexed citations

16.

Xu, Yonggang, et al.. (2019). A Novel Rolling Bearing Fault Diagnosis Method Based on Empirical Wavelet Transform and Spectral Trend. IEEE Transactions on Instrumentation and Measurement. 69(6). 2891–2904. 67 indexed citations

17.

Xu, Yonggang, et al.. (2019). An Adaptive Spectrum Segmentation Method to Optimize Empirical Wavelet Transform for Rolling Bearings Fault Diagnosis. IEEE Access. 7. 30437–30456. 17 indexed citations

18.

Xu, Yonggang, Zeyu Fan, Kun Zhang, & Chaoyong Ma. (2019). A Novel Method for Extracting Maximum Kurtosis Component and Its Applications in Rolling Bearing Fault Diagnosis. Shock and Vibration. 2019(1). 9 indexed citations

19.

Xu, Yonggang, et al.. (2018). Application of an enhanced fast kurtogram based on empirical wavelet transform for bearing fault diagnosis. Measurement Science and Technology. 30(3). 35001–35001. 86 indexed citations

20.

Xu, Yonggang, Kun Zhang, Chaoyong Ma, Xiaoqing Li, & Jianyu Zhang. (2018). An Improved Empirical Wavelet Transform and Its Applications in Rolling Bearing Fault Diagnosis. Applied Sciences. 8(12). 2352–2352. 35 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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